557 search results - page 19 / 112 » Learning programs from noisy data |
123
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CORR
2010
Springer
15 years 22 days ago
2010
Springer
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
125
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INTERSPEECH
2010
14 years 9 months ago
2010
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
119
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NIPS
2003
15 years 3 months ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
105
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NECO
2002
15 years 2 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
97
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ENC
2006
IEEE
15 years 8 months ago
2006
IEEE
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...